-
1
-
-
35148836705
-
-
An, S., Liu, W., Venkatesh, S.: Face Recognition Using Kernel Ridge Regression. Proceeding of IEEE Computer Society Conference on (CVPR), 2007.
-
An, S., Liu, W., Venkatesh, S.: Face Recognition Using Kernel Ridge Regression. Proceeding of IEEE Computer Society Conference on (CVPR), 2007.
-
-
-
-
2
-
-
33645505792
-
Convexity, Classification and Risk Bounds
-
Bartlett, P., Jordan, M.I., McAuliffe, J.D.: Convexity, Classification and Risk Bounds, Journal of the American Statistical Association, Vol.101, No.473, 3 (2006) 138-156.
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.473
, pp. 138-156
-
-
Bartlett, P.1
Jordan, M.I.2
McAuliffe, J.D.3
-
5
-
-
0000275022
-
Prediction Games and Arcing Classifiers
-
Breiman, L.: Prediction Games and Arcing Classifiers. Neural Computation, Vol.11, (1999)1493-1517.
-
(1999)
Neural Computation
, vol.11
, pp. 1493-1517
-
-
Breiman, L.1
-
6
-
-
34247849152
-
Training the Support Vector Machine in the Primal
-
Chapelle, O.: Training the Support Vector Machine in the Primal, Neural Computation, Vol.19, No.5, 3(2007) 1155-1178.
-
(2007)
Neural Computation
, vol.19
, Issue.5-1155 -1178
, pp. 3
-
-
Chapelle, O.1
-
7
-
-
33747105621
-
-
ICML
-
Collobert, R., Sinz, F., Weston, J., Bottou, L. : Trading Convexity for Scalability. Proceeding of the 23rd International Conference on Machine Learning (ICML), 2006.
-
(2006)
Trading Convexity for Scalability. Proceeding of the 23rd International Conference on Machine Learning
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
9
-
-
0003922190
-
-
2nd Edition, John-Wiley&Sons
-
Duda, R. O., Hart, P. E., Stork, D. G.: Pattern Classification (2nd Edition) . John-Wiley&Sons, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
10
-
-
3543096272
-
The Kernel Recursive Least Squares Algorithm
-
Engel, Y., Mannor, S., Meir, R.: The Kernel Recursive Least Squares Algorithm, IEEE Transaction on Signal Processing, Vol.52, 8(2004)2275-2285.
-
(2004)
IEEE Transaction on Signal Processing
, vol.52
, Issue.8
, pp. 2275-2285
-
-
Engel, Y.1
Mannor, S.2
Meir, R.3
-
11
-
-
0035789613
-
-
Fung, G., Mangasarian, O.L.: Proximal Support Vector Machine Classifiers. Procedding of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining SIGKDD, 2001.
-
Fung, G., Mangasarian, O.L.: Proximal Support Vector Machine Classifiers. Procedding of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining SIGKDD, 2001.
-
-
-
-
12
-
-
0004236492
-
-
3rd Edition, The John Hopkins University Press
-
Golub, G., Loan, C.V.: Matrix Computation (3rd Edition), The John Hopkins University Press, 1996.
-
(1996)
Matrix Computation
-
-
Golub, G.1
Loan, C.V.2
-
13
-
-
0003684449
-
-
Springer
-
Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
15
-
-
1942516915
-
-
Li, F., Yang, Y.: A Loss Function Analysis of Classification Methods in Text Categorization. Proceeding of the 20th International Conference on Machine Learning (ICML), 2003.
-
Li, F., Yang, Y.: A Loss Function Analysis of Classification Methods in Text Categorization. Proceeding of the 20th International Conference on Machine Learning (ICML), 2003.
-
-
-
-
16
-
-
0036258405
-
Support Vector Machine and the Bayes Rule in Classification
-
Lin, Y.: Support Vector Machine and the Bayes Rule in Classification. Data Mining and Knowledge Discovery, Vol. 6, (2002) 259-275.
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, pp. 259-275
-
-
Lin, Y.1
-
17
-
-
2342495357
-
-
Lin, Y.: A Note on Margin-based Loss Functions in Classification, Statistics and Probability Letters, 68, (2004) 73-82.
-
Lin, Y.: A Note on Margin-based Loss Functions in Classification, Statistics and Probability Letters, Vol.68, (2004) 73-82.
-
-
-
-
18
-
-
33745638149
-
Multicategory ψ-Learning
-
Liu, Y., Shen, X.: Multicategory ψ-Learning. Journal of the American Statistical Association, Vol.101, No.474, 6(2006) 500-509.
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.474-500 -509
, pp. 6
-
-
Liu, Y.1
Shen, X.2
-
20
-
-
0347512512
-
Lagrangian Support Vector Machines
-
Mangasarian, O.L., Musicant, D.R.: Lagrangian Support Vector Machines, Journal of Machine Learning Research, Vol.1, (2001) 161-177.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 161-177
-
-
Mangasarian, O.L.1
Musicant, D.R.2
-
21
-
-
0033870982
-
Improved Generalization Through Explicit Optimization of the Margins
-
Mason, L., Bartlett, P.L., Baxter, J.: Improved Generalization Through Explicit Optimization of the Margins. Machine Learning, Vol.38, (2001) 243-255.
-
(2001)
Machine Learning
, vol.38
, pp. 243-255
-
-
Mason, L.1
Bartlett, P.L.2
Baxter, J.3
-
22
-
-
0141607828
-
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
-
Nair, P. B., Choudhury, A., Keane, A. J.: Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels, Journal of Machine Learning Research, Vol.3, (2002) 781-801.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 781-801
-
-
Nair, P.B.1
Choudhury, A.2
Keane, A.J.3
-
23
-
-
0034320350
-
Gaussian Processes for Classification: Mean-Field Algorithms
-
Opper, M., Winther, O.: Gaussian Processes for Classification: Mean-Field Algorithms. Neural Computation, Vol.12, (2000) 2655-2684.
-
(2000)
Neural Computation
, vol.12
, pp. 2655-2684
-
-
Opper, M.1
Winther, O.2
-
24
-
-
0344089097
-
Empirical Risk Minimization for Support Vector Classifiers
-
Pérez-Cruz, F., Navia-Vázquez, A., Figueiras-Vidal, A. R., Artés-Rodríguez, A.: Empirical Risk Minimization for Support Vector Classifiers. IEEE Transaction on Neural Networks, Vol.14, (2002) 296-303.
-
(2002)
IEEE Transaction on Neural Networks
, vol.14
, pp. 296-303
-
-
Pérez-Cruz, F.1
Navia-Vázquez, A.2
Figueiras-Vidal, A.R.3
Artés-Rodríguez, A.4
-
25
-
-
33749262644
-
-
Reyzin, L., Schapire, R.E.: How Boosting the Margin Can Also Boost Classifier Complexity, Proceeding of the 23rd International Conference on Machine Learning (ICML), 2006.
-
Reyzin, L., Schapire, R.E.: How Boosting the Margin Can Also Boost Classifier Complexity, Proceeding of the 23rd International Conference on Machine Learning (ICML), 2006.
-
-
-
-
26
-
-
0032280519
-
Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
-
Schapire, R.E., Freund, Y., Bartlett, P., Lee, W.S.: Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. Annals of Statistics, Vol.26, 5(1998)1651-1686.
-
(1998)
Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
27
-
-
0002442796
-
Machine Learning in Automated Text Categorization
-
Sebastiani, F.: Machine Learning in Automated Text Categorization, ACM Computing Surveys, Vol.34, 3(2002)1-47.
-
(2002)
ACM Computing Surveys
, vol.34
, Issue.3
, pp. 1-47
-
-
Sebastiani, F.1
-
28
-
-
0242679446
-
On ψ-learning
-
Shen, X., Tseng, G., Zhang, X., Wang, W.: On ψ-learning. Journal of the American Statistical Association, (1998)724-734.
-
(1998)
Journal of the American Statistical Association
, pp. 724-734
-
-
Shen, X.1
Tseng, G.2
Zhang, X.3
Wang, W.4
-
29
-
-
0242288903
-
Benchmarking Least Squares Support Vector Machine Classifiers
-
Suykens, J. A. K., Vandewalle, J.: Benchmarking Least Squares Support Vector Machine Classifiers, Machine Learning, Vol. 54, 1 (2004) 5-32.
-
(2004)
Machine Learning
, vol.54
, Issue.1
, pp. 5-32
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
30
-
-
0001868572
-
Text Categorization Based on Regularized Linear Classification Methods
-
Zhang, T., Oles, F. J.: Text Categorization Based on Regularized Linear Classification Methods, Information Retrieval, Vol.4, (2001)5-31.
-
(2001)
Information Retrieval
, vol.4
, pp. 5-31
-
-
Zhang, T.1
Oles, F.J.2
-
31
-
-
4644257995
-
Statistical Behavior and Consistency of Classification Methods based on Convex Risk Minimization
-
Zhang, T.: Statistical Behavior and Consistency of Classification Methods based on Convex Risk Minimization, Annals of Statistics, Vol.53,(2004)56-134.
-
(2004)
Annals of Statistics
, vol.53
, pp. 56-134
-
-
Zhang, T.1
|